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Computer Science - Mathematics - 03.05.2021
USI develops innovative system for better credit card fraud detection
USI develops innovative system for better credit card fraud detection
The use of credit cards and other cashless or digital payment methods has become the norm for consumers all over the globe, and the strong surge of online buying during the pandemic has further boosted this decade-long trend. However, behind the convenience of 'click and pay' there are also risks, such as fraud and related losses, which are mostly borne by the card companies.

Computer Science - Physics - 30.04.2021
’Bat-sense’ tech generates images from sound
Scientists have found a way to equip everyday objects like smartphones and laptops with a bat-like sense of their surroundings. At the heart of the technique is a sophisticated machine-learning algorithm which uses reflected echoes to generate images, similar to the way bats navigate and hunt using echolocation.

Physics - Computer Science - 29.04.2021
Machine learning algorithm helps unravel the physics underlying quantum systems
Machine learning algorithm helps unravel the physics underlying quantum systems
Scientists from the University's Quantum Engineering Technology Labs (QETLabs) have developed an algorithm that provides valuable insights into the physics underlying quantum systems - paving the way for significant advances in quantum computation and sensing, and potentially turning a new page in scientific investigation.

Earth Sciences - Computer Science - 29.04.2021
Seafloor Survey Finds Thousands of Barrels at DDT Dumpsite off LA Coast
Scripps Oceanography scientists mapped 36,000 acres using advanced ocean robotics and sonar An expedition led by UC San Diego's Scripps Institution of Oceanography mapped more than 36,000 acres of seafloor between Santa Catalina Island and the Los Angeles coast in a region previously found to contain high levels of the toxic chemical DDT in sediments and the ecosystem.

Computer Science - Sport - 28.04.2021
Virtual Reality could help improve balance in older people
Virtual Reality could help improve balance in older people
Researchers at CAMERA are investigating VR technology to help improve balance and prevent falls. Last updated on Wednesday 28 April 2021 Researchers at the University of Bath investigating how virtual reality (VR) can help improve balance believe this technology could be a valuable tool in the prevention of falls.

Computer Science - 28.04.2021
Advanced core processing: New robot technology appealing for apple growers
Monash researchers have developed a robot capable of performing autonomous apple harvesting. Field trials at Fankhauser Apples in Victoria showed an 85 per cent success rate, at roughly nine seconds per apple picked and deposited, with the robot operating at half capacity. This system seeks to address chronic labour shortages Australia's agricultural sector is experiencing brought on by COVID-19, as well as tackling the future food crisis.

Health - Computer Science - 27.04.2021
Visual analysis for medicine
Visual analysis for medicine
Cancer, Alzheimer's, diabetes or cardiovascular diseases are what are known as non-communicable diseases, which are responsible for the majority of deaths worldwide - in Germany, an estimated 91 percent of all deaths are the result of these diseases, and it is a rising trend. Epidemiologists have been studying the development and distribution of these epidemiological diseases, as well as the measures to combat them and what their social consequences are.

Chemistry - Computer Science - 27.04.2021
Towards new solar cells with active machine learning
Towards new solar cells with active machine learning
Fewer requirements let artificial intelligence discover new materials A research team from the Technical University of Munich (TUM) and the Fritz Haber Institute in Berlin uses active machine learning in the search for suitable molecular materials for new organic semiconductors, the basis for organic field effect transistors (OFETs), light-emitting diodes (OLEDs) and organic solar cells (OPVs).

Computer Science - Mechanical Engineering - 26.04.2021
New PP: Daring More Intelligence
Date: April 26, 2021, No. 31 DFG approves new priority program coordinated by the University of Stuttgart Design Assistants in Mechanics and Dynamics are the topic of a new priority program (PP) of the German Research Foundation (DFG) that aims to bring more artificial intelligence (AI) into the design process of technical systems.

Physics - Computer Science - 22.04.2021
New tech builds ultralow-loss integrated photonic circuits
New tech builds ultralow-loss integrated photonic circuits
Scientists have developed ultralow-loss silicon nitride integrated circuits that are central for many photonic devices, such as chip-scale frequency combs, narrow-linewidth lasers, coherent LiDAR, and neuromorphic computing. Encoding information into light, and transmitting it through optical fibers lies at the core of optical communications.

Environment - Computer Science - 19.04.2021
AI empowers environmental regulators
AI empowers environmental regulators
Monitoring environmental compliance is a particular challenge for governments in poor countries. A new machine learning approach that uses satellite imagery to pinpoint highly polluting brick kilns in Bangladesh could provide a low-cost solution. By Rob Jordan Stanford Woods Institute for the Environment Like superheroes capable of seeing through obstacles, environmental regulators may soon wield the power of all-seeing eyes that can identify violators anywhere at any time, according to a new Stanford University-led study.

Computer Science - 15.04.2021
Uncovering the secrets of some of the world's first color photographs
Researchers have shed new light on one of the earliest color photography techniques, G. Lippmann's Nobel Prize-winning multispectral imaging method. It is often said that before air travel our skies were bluer yet how, in the 21 st century, could we ever know what light and colors were like one hundred years ago? Recently, a group of researchers from EPFL's Audiovisual Communications Laboratory , in the School of Computer and Communication Sciences (IC), had a unique opportunity to try to find out.

Pharmacology - Computer Science - 15.04.2021
Designing better antibody drugs with artificial intelligence
Machine learning methods help to optimise the development of antibody drugs. This leads to active substances with improved properties, also with regard to tolerability in the body. Antibodies are not only produced by our immune cells to fight viruses and other pathogens in the body. For a few decades now, medicine has also been using antibodies produced by biotechnology as drugs.

Life Sciences - Computer Science - 07.04.2021
Using AI to Diagnose Neurological Diseases Based on Motor Impairment
New Heidelberg approach: analysing movement patterns through machine learning The way we move says a lot about the state of our brain. While normal motor behaviour points to a healthy brain function, deviations can indicate impairments owing to neurological diseases. The observation and evaluation of movement patterns is therefore part of basic research, and is likewise one of the most important instruments for non-invasive diagnostics in clinical applications.

Astronomy / Space Science - Computer Science - 07.04.2021
Seeing Quadruple
Machine-learning methods lead to discovery of rare "quadruply imaged quasars" that can help solve cosmological puzzles With the help of machine-learning techniques, a team of astronomers has discovered a dozen quasars that have been warped by a naturally occurring cosmic "lens" and split into four similar images.

Computer Science - Innovation - 06.04.2021
Topological data analysis can help predict stock-market crashes
Topological data analysis can help predict stock-market crashes
Scientists, together with local startup L2F, have developed a robust model that can predict when a systemic shift is about to occur, based on methods from a branch of mathematics called topological data analysis. Topological data analysis (TDA) involves extracting information from clouds of data points and using the information to classify data, recognize patterns or predict trends, for example.

Physics - Computer Science - 02.04.2021
X-Ray Experiments, Machine Learning Could Trim Years Off Battery R&D
X-Ray Experiments, Machine Learning Could Trim Years Off Battery R&D
Berkeley Lab's COSMIC X-ray instrument reveals key information about individual battery particles - By Glenn Roberts Jr. An X-ray instrument at Berkeley Lab contributed to a battery study that used an innovative approach to machine learning to speed up the learning curve about a process that shortens the life of fast-charging lithium batteries.

Physics - Computer Science - 02.04.2021
To Speed Discovery, Infrared Microscopy Goes 'Off the Grid'
To Speed Discovery, Infrared Microscopy Goes ’Off the Grid’
A highly efficient way to collect infrared microscopy data avoids the use of slow, grid-based raster scans Question: What do a roundworm, a Sharpie pen, and high-vacuum grease have in common? Answer: They've all been analyzed in recent proof-of-principle microscopy experiments at Berkeley Lab's Advanced Light Source (ALS) .

Computer Science - 30.03.2021
Keeping an eye on systems
Even minor disruptions in infrastructure systems can have fatal consequences. Researchers and practitioners counter that risk by taking action on multiple levels. Four examples. Urban systems: increase resilience By trade, Bo¸idar Stojadinovic is an expert in earthquake-proof construction. Now a Professor of Structural Dynamics and Earthquake Engineering, he specialises in urban systems and how to make them more resilient to earthquakes.

Environment - Computer Science - 26.03.2021
Big Data Accelerates Biodiversity Research
Carnegie Mellon University Museums hold the storehouse of specimens required to understand biodiversity across the planet. These archives serve as historical snapshots of biodiversity in one area, at one time. While this information has historically remained isolated, recent efforts to digitize collections have produced a bridge between these rich troves, combining collections into a larger pool that researchers can tap to tackle deep questions about global biodiversity.